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From Robot to Human Grasping Simulation

  • Book
  • © 2014

Overview

  • Recent research in robotic and human grasping
  • Shows that the biomechanical study of the human hand and the analysis of robotic manipulation of objects greatly bene?t from each other and advance both disciplines
  • Presents the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation
  • Fit from each other and advance both disciplines
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Systems Monographs (COSMOS, volume 19)

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About this book

The human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human hand’s functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human hand’s function for grasping and manipulation of everyday life objects.

This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities.

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Keywords

Table of contents (8 chapters)

  1. Robot Grasping Simulation

  2. Human Grasping Simulation

Authors and Affiliations

  • Department of Computer Science and Engineering, Robotic Intelligence Lab, Universitat Jaume I, Castellon, Spain

    Beatriz León, Antonio Morales

  • Department of Mechanical Engineering and Construction, Biomechanics and Ergonomics Group, Universitat Jaume I, Castellon, Spain

    Joaquín Sancho-Bru

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